Product processing is an effective strategy for resolving the ambiguities created when the array spacing exceeds the standard. It involves populating a uniform aperture using two subarrays and multiplying their outputs to obtain a product spectrum [1]}. Recent examples of product processing on sparse arrays include nested and coprime arrays, which are formed by interleaving two ULAs [2]}, [3]}, [4]}, [5]}. This paper focuses on these two sparse arrays.
